var arr = new Array(1000000);
arr.fill(10);
arr.push(1);
function findOutlier(integers){
//your code here
var test;
let i = 0;
let len = integers.length;
if ((integers[0] % 2 == 0 || integers[1] % 2 == 0) && (integers[2] % 2 == 0 || integers[3] % 2 == 0)) {
// outlier is odd
test = function(int) {
return int % 2 !== 0;
}
} else {
// outlier is even
test = function(int) {
return int % 2 === 0;
}
}
for(i;i < len;i++) {
if (test(integers[i])) {
return integers[i]
}
}
}
findOutlier(arr);
function findOutlier(int){
var even = int.filter(a=>a%2==0);
var odd = int.filter(a=>a%2!==0);
return even.length==1? even[0] : odd[0];
}
findOutlier(arr)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
looping | |
Filtering |
Test name | Executions per second |
---|---|
looping | 273.9 Ops/sec |
Filtering | 10.4 Ops/sec |
Let's break down the provided benchmark and explain what's being tested.
Benchmark Overview
The benchmark is designed to measure the performance of JavaScript code that finds an outlier in an array of integers. The outlier is defined as the number that is either even or odd (depending on the implementation). There are two test cases: "looping" and "Filtering".
Script Preparation Code
The script preparation code initializes an array arr
with 1 million elements, fills it with the value 10, and then pushes a single element with the value 1.
Html Preparation Code
There is no HTML preparation code provided.
Individual Test Cases
Let's analyze each test case:
The "looping" test case uses a traditional for loop to iterate through the array and check if the current element matches the outlier condition. The implementation uses two separate functions: test
that checks if an integer is odd, and another function that returns the outlier.
Pros and Cons
The "Filtering" test case uses the filter()
method to create two separate arrays: one for even numbers and one for odd numbers. The outlier is then returned as the first element of either array if it exists.
Pros and Cons
filter()
or array methods.Other Considerations
Both implementations have a time complexity of O(n), where n is the length of the input array. However, the filtering implementation may be slightly faster due to its lower constant factor.
Library and Special JS Features
There are no libraries used in these benchmark cases. The filtering method uses a built-in JavaScript method (filter()
), but it doesn't rely on any external library or framework.
Other Alternatives
If you want to explore alternative implementations, here are some options:
map()
and reduce()
: Instead of using filter()
or loops, you could use map()
to create two arrays with the even and odd numbers, and then use reduce()
to find the outlier.Here's an example implementation using map()
and reduce()
:
function findOutlier(integers) {
const evens = integers.map(Number).filter(num => num % 2 === 0);
const odds = integers.map(Number).filter(num => num % 2 !== 0);
return evens.length === 1 ? evens[0] : odds[0];
}
Keep in mind that these alternatives may have different performance characteristics and trade-offs, so it's essential to experiment and test them thoroughly.
That's a summary of the provided benchmark!